What Is Doctly.ai?
Doctly.ai is a next-generation AI document engine built to transform unstructured PDFs — including scientific papers, technical manuals, financial reports, and multi-column layouts — into clean, semantically rich Markdown. Engineered for developers and AI teams, it goes beyond basic text extraction to preserve hierarchy, context, and visual fidelity.
Getting Started in Seconds
Integrate Doctly.ai in under a minute: install the official Python SDK, authenticate with your API key, and convert any PDF with a single parse() call. No preprocessing, no layout assumptions — just reliable, reproducible output.
Why Developers Choose Doctly.ai
Precision Extraction Across Document Types
Detects and reconstructs text, tables (with headers and merged cells), figures, captions, footnotes, and embedded charts — even in scanned or low-resolution PDFs.
True Semantic Markdown Output
Generates human-readable, AI-ready Markdown with proper heading levels (##, ###), fenced code blocks for algorithms, list nesting, and inline math support — ready for RAG, fine-tuning, or LLM ingestion.
Adaptive Model Routing
Dynamically selects optimal parsing models per page — choosing between OCR-enhanced, layout-aware, or text-dense pipelines — ensuring speed *and* accuracy across heterogeneous documents.
Context-Aware Feature Recognition
Identifies document-specific structures: section titles, equation numbering, citation markers, table-of-contents links, and cross-references — turning static PDFs into navigable, queryable knowledge graphs.
Real-World Applications
Power Your AI Stack with Structured Documents
From ingesting research literature into vector databases to converting regulatory filings into training datasets — Doctly.ai bridges the gap between legacy PDF archives and modern LLM infrastructure.
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